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August 1, 2016

Splunk Enterprise

Splunk Enterprise helps you gain valuable Operational Intelligence from your machine generated data. And with a full range of powerful search, visualization and pre-packaged content for use-cases, any user can quickly discover and share insights. Just point your raw data at Splunk Enterprise and start analyzing your world.

Splunk User Behavior Analytics is an out-of-the-box solution that helps organizations find known, unknown, and hidden threats using data science, machine learning, behavior baseline, peer group analytics and advanced correlation. It presents results with risk ratings and supporting evidence so that an [...]

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August 1, 2016

Scikit-learn

Scikit-learn is an open source machine learning library for the Python programming language.It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Classification : Identifying to which category an object belongs to Applications: Spam detection, Image recognition. Algorithms: SVM, nearest neighbors, random forest. Regression : Predicting a continuous-valued attribute associated with an object. Applications: Drug [...]

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August 1, 2016

Shogun

Shogun is a free, open source toolbox written in C++. It offers numerous algorithms and data structures for machine learning problems. The focus of Shogun is on kernel machines such as support vector machines for regression and classification problems. Shogun also offers a full implementation of Hidden Markov models.The toolbox seamlessly allows to easily combine multiple data representations, algorithm classes, and general purpose tools. This enables both rapid prototyping of data pipelines and extensibility in terms of new algorithms.

It now offers features that span the whole space of Machine Learning methods, [...]

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August 1, 2016

ELKI

The ELKI framework is written in Java and built around a modular architecture. Most currently included algorithms belong to clustering, outlier detection and database indexes. A key concept of ELKI is to allow the combination of arbitrary algorithms, data types, distance functions and indexes and evaluate these combinations. When developing new algorithms or index structures, the existing components can be reused and combined.

ELKI is modeled around a database core, which uses a vertical data layout that stores data in column groups (similar to column families in NoSQL databases). This database core provides nearest [...]

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August 1, 2016

Prelert

Prelert behavioral analytics platform uses machine learning to detect anomalies across massive data sets. The algorithms automate the analysis of an organization’s log data to find anomalies, link them together, and give you real insight into what’s happening with your data. Prelert helps IT security and operations professionals identify advanced security threats and IT performance problems faster and more accurately, eliminating manual effort and human error while reducing false positives.

Prelert’s machine learning algorithms automate the analysis of massive sets of machine data, building and maintaining accurate [...]

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August 1, 2016

Numenta

Numenta, is inspired by machine learning technology and is based on a theory of the neocortex. The technology can be applied to anomaly detection in servers and applications, human behavior, geo-spatial tracking data, and to the predication and classification of natural language. Numenta has created NuPIC (Numenta Platform for Intelligent Computing) as an open source project.

Applications include detects anomalies in publicly traded companies, models stock price, stock volume, and Twitter volume related to top market companies, detects anomalies in servers and applications. Learns continuously, automatically discovers [...]

49.75
 
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August 1, 2016

Anodot

Anodot is a real time analytics and automated anomaly detection system that discovers outliers in vast amounts of time series data and turns them into valuable business insights. Using patented machine learning algorithms, Anodot isolates issues and correlates them across multiple parameters in real time, eliminating business insight latency, and supporting rapid business decisions through its uncovered insights. With its scalable SaaS platform, Anodot provides typically siloed teams BI, R&D and Devops with a single, unified system for both business and IT metrics.

Automatically surfaces unusual behavior in the [...]

15
 
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July 1, 2016

Dataiku

Dataiku DSS is the collaborative data science platform that enables  teams to explore, prototype, build, and deliver their own data products more efficiently.  Dataiku DSS provides an interactive visual interface where they can point, click, and build or use languages like SQL to data wrangle, model, easily re-run workflows, visualize results, and get up-to-date insights on demand.

Dataiku DSS provides tools to draft data preparation and modelisation in seconds, that wish to leverage their favorite ML libraries (scikitlearn, R, MLlib, H2O, and so on), and that rely on automating their work in a completely customizable [...]

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